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Introduction: At present, clinical factors and hematological indicators have been proved to have great potential in predicting the prognosis of cancer patients, and no one has combined these two valuable indicators to establish a prognostic model for esophageal squamous cell carcinoma (ESCC) patients with stage T1-3N0M0 after R0 resection. To verify, we aimed to combine these potential indicators to establish a prognostic model. Methods: Stage T1-3N0M0 ESCC patients from two cancer centers (including training cohort: N = 819, and an external validation cohort: N = 177)—who had undergone esophagectomy in 1995–2015 were included. We integrated significant risk factors for death events by multivariable logistic regression methods and applied them to the training cohort to build Esorisk. The parsimonious aggregate Esorisk score was calculated for each patient; the training set was divided into three prognostic risk classes according to the 33rd and 66th percentiles of the Esorisk score. The association of Esorisk with cancer-specific survival (CSS) was assessed using Cox regression analyses. Results: The Esorisk model was: [10 + 0.023 × age + 0.517 × drinking history − 0.012 × hemoglobin–0.042 × albumin − 0.032 × lymph nodes]. Patients were grouped into three classes—Class A (5.14–7.26, low risk), Class B (7.27–7.70, middle risk), and Class C (7.71–9.29, high risk). In the training group, five-year CSS decreased across the categories (A: 63%; B: 52%; C: 30%, Log-rank P < 0.001). Similar findings were observed in the validation group. Additionally, Cox regression analysis showed that Esorisk aggregate score remained significantly associated with CSS in the training cohort and validation cohort after adjusting for other confounders. Conclusions: We combined the data of two large clinical centers, and comprehensively considered their valuable clinical factors and hematological indicators, established and verified a new prognostic risk classification that can predict CSS of stage T1-3N0M0 ESCC patients. [ABSTRACT FROM AUTHOR]

Background: The relationship between quality of life and survival outcomes in esophageal cancer patients following curative resection is not well established. This study aimed to longitudinally assess quality of life indicators and their association with overall survival (OS) in these patients., Methods: A total of 232 patients were included in the study, and their quality of life was prospectively assessed at different time points using the European Organisation for Research and Treatment of Cancer (EORTC) 30-item core quality of life questionnaire (QLQ-C30) and the disease-specific esophageal module (QLQ-OES18). The scores of QLQ indicators at each time point were summarized, and changes in postoperative assessment were compared with preoperative assessments. The association of deterioration in certain indicators with OS was evaluated at each time point using Cox univariable analysis. Further confirmation of independent variables was carried out using Cox multivariable analysis., Results: The study cohort comprised 62 females (26.7%), and 113 patients (48.7%) aged over 60 years. The median follow-up time was 80 months (range, 8-118 months). At 24 months after discharge, patients reported improvements in role function, fatigue, cognition function, emotional function, social function, insomnia, appetite loss, nausea and vomiting, constipation, financial status, trouble swallowing saliva, and pain related to esophageal cancer. However, physical function, dyspnea, diarrhea, global health status, choking when swallowing, trouble talking, and reflux remained compromised. Multivariable regression analysis revealed deterioration in role function, emotional function, and coughing difficulty at 6 months, and dyspnea, pain, and cognitive function at 24 months post-discharge were identified as independent prognostic factors for OS., Conclusions: Our findings underscore the importance of monitoring quality of life indicators in esophageal cancer patients as they may significantly influence survival outcomes. The identification of specific quality of life indicators as prognostic factors highlights the need for a patient-centered approach in clinical practice to enhance care and potentially improve survival., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jtd.amegroups.com/article/view/10.21037/jtd-24-311/coif). The authors have no conflicts of interest to declare., (2024 AME Publishing Company. All rights reserved.)

In the present work, Raman spectra of alkane gases aqueous solution under simulated deep-sea hydrothermal environment were acquired by high temperature and high pressure deep-sea simulation experiment system. The variation laws of the Raman spectral features with various temperature and pressure were analyzed and mathematical model between them were established. The results show that for all Raman peaks of these alkane gases in aqueous solution the frequency is lower than gaseous state because of hydrogen bond; the variations of their Raman spectrum were not obvious as the pressure increased (< or = 40 MPa) in room temperature; and all peak positions move to lower wave number and their full width at half maximum (FWHM) increased along with changing temperature in the range of room temperature to 350 degrees C at 40 MPa pressure. The results provide an experimental basis for the in-situ detection of deep sea by Raman laser spectroscopy system in hydrothermal environment.